200K context window
Read large docs or codebases in one request with less manual chunking (some providers offer extended tiers—see the model list).
Claude Sonnet 4.6
200K context and 128K output with extended thinking and prompt caching—run coding, agents, and high-throughput daily work in LimaxAI, then escalate hard cases to Opus.

Capabilities & limits
Key specs for production planning; exact toggles follow what LimaxAI exposes in chat.
Read large docs or codebases in one request with less manual chunking (some providers offer extended tiers—see the model list).
Ship long answers, full patches, test suites, and implementation plans without early truncation.
Enable deeper reasoning on hard tasks with more predictable cost (per integration).
Multi-step planning, reliable tool calls, and consistent output at lower cost than flagship Opus.
Text and image input with strong multilingual understanding for docs, screenshots, and UI assets.
Cache stable system prompts and repeated long prefixes; hits bill at a reduced rate (API; chat per product).
Use cases
Aligned with public Claude Sonnet 4.6 positioning; images are illustrative.

Architecture, refactors, code review, and bug fixes—handle large repos in 200K context and generate full diffs and tests.

Plan, call tools, and keep context across multi-step tasks with agent-grade quality below Opus pricing.

Research, planning, and technical strategy when you need deeper answers with predictable cost.
Why LimaxAI
Alongside Opus, GPT, and Gemini—make Sonnet your production default.
Route daily coding, analysis, and agents to Sonnet; escalate outliers to Opus.
Bill against LimaxAI points rules for straightforward team comparisons.
Same streaming pipeline as other chat models for long replies and iteration.
Claude family
Sonnet 4.6 for daily balance; Opus for hardest work; Haiku for fastest, lowest cost.
Public specs and pricing evolve; available entries follow LimaxAI’s model list.
| Dimension | Sonnet 4.6 | Opus 4.6 | Haiku 4.5 |
|---|---|---|---|
| Positioning | Balanced · production default | Flagship · hardest tasks | Fast · lowest cost |
| Context | 200K | ~1M | Varies by release |
| Max output | 128K | 128K | Varies |
| Typical tasks | Coding · agents · daily | Complex frontier work | High-throughput short tasks |
| Pick when | Cost & speed balance | Quality first | Extreme cost/latency |
Get started
Try Claude Sonnet 4.6 in LimaxAI chat.
Open Chat and select Claude Sonnet 4.6 (or a similarly named entry).
Start with code review, an agent draft, or long-document Q&A and check quality, latency, and credits.
Keep daily traffic on Sonnet; escalate the hardest cases to Opus and check pricing.
FAQ
Public materials cite 200K context and up to 128K output—great for large codebases and long generations. Chat limits follow LimaxAI’s model list.
APIs often use claude-sonnet-4-6. In LimaxAI Chat, pick the matching list entry.
Sonnet balances speed, intelligence, and cost for production defaults; Opus targets the hardest coding and agents. Public narratives highlight Sonnet’s 128K output for large single-shot generations.
Deeper reasoning on complex tasks with relatively predictable cost—whether chat exposes the control depends on the product.
Public specs bill cache writes and hits separately; hits are often ~0.1× base input—common in API setups with repeated system prompts.
Text and image input with multilingual support (per chat attachments).
Per selected model and published points rules—see pricing.
Try in LimaxAI Chat
Open Chat, pick Sonnet 4.6, and start with code review or an agent workflow.